Priyanshu Sharma's repositories
fnmUTD_2019
Fannie Mae code samples for the UTD Hackathon
loan-repayment-prediction
Lending Club Loan Data
e-commerce
An E-Commerce company based in New York City that sells clothing online but they also have in-store style and clothing advice sessions. Customers come in to the store, have sessions/meetings with a personal stylist, then they can go home and order either on a mobile app or website for the clothes they want. The company is trying to decide whether to focus their efforts on their mobile app experience or their website.
IBM-HR-Analytics
Predicting Attrition in IBM's HR Analytics Data.
ad-clicks
In this project I will be working with a fake advertising data set, indicating whether or not a particular internet user will click on an Advertisement. I will try to create a model that will predict whether or not they will click on an ad based off the features of that user.
data-scientist-value
Flask app to calculate compensation of a data scientist
madlib-site
Mirror of Apache MADlib site
breast-cancer-detection
This data has been taken from the University of California Irvine's machine learning repository. It is a standard dataset that can be used to apply and test the efficiency and accuracy of various advanced classification algorithms on such data. Fortunately, I managed to get a 100% test accuracy without over-fitting the model, want to see which algorithm gave such awesome accuracy?
MNIST-deep-learning
This is a beginners' project in deep learning. I used Keras with Tensorflow as backend to create a Convolutional Neural Network for recognizing handwritten digits.
unsupervised-learning
For this project I will attempt to use Unsupervised to cluster Universities into to two groups, Private and Public.
lung-cancer-detection
This is a project based on Data Science Bowl 2017. I did my best to propose a solution for the problem but I am still new to Deep Learning so my solution is not the optimal one but it can definitely be improved with some fine tuning and better resources.
advanced-regression
In this project, I will use Ames housing prices dataset available at Kaggle, and apply advanced regression techniques and compare their effectiveness on such problems.
house-prices-prediction
I have a dataset containing some real estate data that I can use to predict the estimate price of houses across United States. Although the data is not real but it is a great exercise to test my supervised learning and modelling skills.
CCA175-Exam-Preparation
Cloudera CCA175 Spark and Hadoop Developer exam preparation